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dc.contributor.authorOlivera-Guerra, Luis Enrique
dc.contributor.authorLaluet, Pierre
dc.contributor.authorAltés, Víctor
dc.contributor.authorOllivier, Chloé
dc.contributor.authorPageot, Yann
dc.contributor.authorPaolini, Giovanni
dc.contributor.authorChavanon, Eric
dc.contributor.authorRivalland, Vincent
dc.contributor.authorBoulet, Gilles
dc.contributor.authorVillar Mir, Josep Ma.
dc.contributor.authorMerlin, Olivier
dc.date.accessioned2023-01-23T08:58:06Z
dc.date.available2023-01-23T08:58:06Z
dc.date.issued2023
dc.identifier.issn0378-3774
dc.identifier.urihttp://hdl.handle.net/10459.1/85289
dc.description.abstractThe modeling of irrigation in land surface models are generally based on two soil moisture parameters SMthreshold and SMtarget at which irrigation automatically starts and stops, respectively. Typically, both parameters are usually set to optimal values allowing to fill the soil water reservoir with just the estimated right amount and to avoid crop water excess at all times. The point is that agricultural practices greatly vary according to many factors (climatological, crop, soil, technical, human, etc.). To fill the gap, we propose a new calibration method of SMthreshold and SMtarget to represent the irrigation water use in any (optimal, deficit or even over) irrigation regime. The approach is tested using the dual-crop coefficient FAO-56 model implemented at the field scale over an 8100 ha irrigation district in northeastern Spain where the irrigation water use is precisely monitored at the district scale. Both irrigation parameters are first retrieved at monthly scale from the irrigation observations of year 2019. The irrigation simulated by the FAO-56 model is then evaluated against observations at district and weekly scale over 5 years (2017–2021) separately. The performance of the newly calibrated irrigation module is also assessed by comparing it against three other modules with varying configurations including default estimates for SMthreshold and SMtarget. The proposed irrigation module obtains systematically the best performance for each of the 5 years with an overall correlation coefficient of 0.95 ± 0.02 and root-mean square error of 0.27 ± 0.07 hm3/week (0.64 ± 0.17 mm/day). Unlike the three irrigation modules used as benchmark, the new irrigation module is able to reproduce the farmers’ practices throughout the year, and especially, to simulate the actual water use in the deficit and excess irrigation regimes occurring in the study area in spring and summer, respectively.ca_ES
dc.description.sponsorshipThis study was supported by the IDEWA project ( ANR-19-P026-003 ) of the Partnership for research and innovation in the Mediterranean area ( PRIMA ) program and by the Horizon 2020 ACCWA project (grant agreement # 823965 ) in the context of Marie Sklodowska-Curie Research and Innovation Staff Exchange (RISE) program. The authors wish to acknowledge the "Comunitat de Regants Canal Algerri Balaguer" and the Ebro Hydrographic Confederation (SAIH Ebro) for providing the observation irrigation data used in this study.ca_ES
dc.language.isoengca_ES
dc.publisherElsevierca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1016/j.agwat.2022.108119ca_ES
dc.relation.ispartofAgricultural Water Management, 2023, vol. 278, núm. 108119, p. 1-15ca_ES
dc.rightscc-by-nc-nd (c) Olivera-Guerra et al., 2023ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectData assimilationca_ES
dc.subjectIrrigation amountsca_ES
dc.subjectIrrigation moduleca_ES
dc.subjectWater balance modelca_ES
dc.titleModeling actual water use under different irrigation regimes at district scale: Application to the FAO-56 dual crop coefficient methodca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.1016/j.agwat.2022.108119
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/823965/EU/ACCWAca_ES


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cc-by-nc-nd (c) Olivera-Guerra et al., 2023
Except where otherwise noted, this item's license is described as cc-by-nc-nd (c) Olivera-Guerra et al., 2023